• 한국건축시공학회지
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• 제22권6호
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• pp.663-672
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• 2022

왕겨분말 혼입 지오폴리머의 황산마그네슘 저항성을 평가하기 위해, 비교대상으로 보통 콘크리트, 실리카 흄 혼입 콘크리트, 플라이애시와 고로슬래그를 혼입한 2성분계 지오폴리머를 비교대상으로 선정하여 황산마그네슘 용액침지시험을 실시하였다. 재령별 압축강도를 이용하여 산출한 황산염 열화지수는 황산마그네슘 용액 침지재령 56일에서 보통 콘크리트의 경우 6.75%이었으나, 왕겨분말 혼입 지오폴리머의 경우 모든 시편에서 1.28~1.87%의 낮은 수준을 보였다. 이는 실리카 흄 혼입 콘크리트의 2.48%보다 낮게 나타나 왕겨분말이 황산마그네슘 침식 저항성에 큰 도움이 되는 것으로 판단된다. 또한, 콘크리트 내부 미세균열과 외부열화에 대한 평가를 위해 시험체의 중량변화율의 경우 황산마그네슘 용액 침지재령28일 이후부터 모든 시험체에서 중량이 크게 변화하였으며, 침지재령 56일에서 보통 콘크리트는 3.78%로써 황산마그네슘에 의한 열화가 가장 심각한 수준임을 알 수 있었다. 그러나, 왕겨분말 혼입 지오폴리머의 경우 0.9~1.45%의 작은 중량변화율을 보였다. 지오폴리머 내의 에트린자이트 생성 정도를 X선 회절 분석법을 통하여 확인하였으며, 왕겨분말 혼입 지오폴리머에서는 소량으로 생성되어 있는 것을 확인할 수 있어, 황산마그네슘 침식 저항성에 높은 상관성이 있음을 알 수 있었다.

• Advances in concrete construction
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• 제5권1호
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• pp.75-86
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• 2017

An experimental work was carried out to study the effect of hybrid fiber on the tension stiffening and cracking characteristics of geopolymer concrete (GPC). A total of 24 concentrically reinforced concrete specimens were cast and tested under uniaxial tension. The grade of concrete considered was M40. The variables mainly consist of the volume fraction of crimped steel fibers (0.5 and 1.0%) and basalt fibers (0.1, 0.2 and 0.3%). The load deformation response was recorded using LVDT's. At all the stages of loading after the first cracking, crack width and crack spacing were measured. The addition of fibers in hybrid form significantly improved the tension stiffening effect. In this study, the combination of 0.5% steel fiber and 0.2% basalt fiber gave a better comparison than the other combinations.

• 한국건설순환자원학회논문집
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• 제4권2호
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• pp.101-111
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• 2016

석탄재로부터 제조된 지오폴리머에 골재를 첨가하여 시멘트와 동일하게 모르타르와 콘크리트를 제조하는 것이 가능하다. 잔골재의 특성이 지오폴리머 모르타르와 콘크리트에 미치는 영향에 대해 체계적으로 검토한 연구는 많지 않기 때문에 잔골재의 광물조성, 형상, 표면, 입도, 밀도 및 흡수율 등을 평가하는 것이 필요하다. 본 연구에서는 석영, 운모, 장석, 휘석 등의 광물 조성을 이루고 -0.60mm에서 +0.30mm까지의 입자크기가 전체의 96%이며 표면이 거칠고 각진 형상을 보이는 주문진 표준사와 대부분 석영으로 -1.40mm에서 +0.60mm까지의 입자크기가 전체의 51%를 보이고 동시에 다양한 입자크기를 보이면서 표면이 매끈하고 둥근 형상을 나타내는 ISO 표준사 다른 두 종류의 잔골재를 사용하였다. 배합비는 Si/Al=1.0-4.1의 범위에서 지오폴리머 페이스트를 실험한 결과 가장 높은 압축강도를 보인 Si/Al=1.5는 모르타르, 가장 높은 반죽 질기를 보인 Si/Al=3.5는 콘크리트에 각각 적용하였다. 지오폴리머 모르타르는 잔골재를 20-50%의 범위에서 주문진 표준사와 ISO 표준사가 첨가된 모르타르는 각각 69.5-112.0mm, 70.5-126.0mm의 플로우 크기 증가를 보였고, ISO 잔골재 가 첨가된 모르타르의 플로우 증가율이 더 높았다. 지오폴리머 콘크리트는 ISO 표준사와 굵은 골재가 전체의 77wt.%를 첨가하였을 때 평균 압축강도가 32MPa로 나타났고 반죽 질기는 몰딩하기에 양호하였다. 본 연구에서 다양한 입도분포, 둥근 형상, 매끈한 표면, 낮은 흡수율을 보인 ISO 표준사가 지오폴리머의 반죽 질기에 유리한 특성을 보였기 때문에 지오폴리머 콘크리트에도 ISO 표준사와 유사한 잔골재를 사용하는 것이 유리할 수 있다.

• 콘크리트학회논문집
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• 제26권4호
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• pp.449-456
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• 2014

지오폴리머 반응은 매우 복잡하며, 플라이애쉬 화학조성, 입도분포, 자극제 농도와 종류, 양생온도, 양생시간 등이 지오폴리머 물성에 많은 영향을 미치고 있는 것으로 알려져 있다. 이 연구에서는 양생조건이 플라이애쉬 기반 지오폴리머 강도에 미치는 영향을 실험하기 위하여, 양생온도, 고온양생 전 전치시간, 고온에서의 양생시간 등을 변화시켜 양생조건 변화에 따른 지오폴리머 페이스트의 압축강도, SEM, 공극특성 등에 대하여 분석하였다. 실험 결과 양생온도가 높을수록 지오폴리머의 강도는 증가하였으며, 전양생시간이 길어질수록 지오폴리머 강도는 증가되었으나, 고온양생에서의 양생시간이 길어지면 압축강도가 저하현상이 관찰되었다. 고온에서의 양생시간이 길어지면 공극구조의 변화에 따라 강도 저하 현상이 관찰되었다. 따라서 양생온도와 양생시간은 지오폴리머 강도 및 미세구조에 큰 영향을 미치고 있는 것을 확인할 수 있었다.

• Advances in concrete construction
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• 제15권4호
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• pp.251-267
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• 2023

In this paper, an experimental investigation is carried out to assess the inherent self-compacting properties of geopolymer mortar and its impact on flexural strength of thin-walled ferro-geopolymer box beam. The inherent self-compacting properties of the optimal mix of normal geopolymer mortar was studied and compared with self-compacting cement mortar. To assess the flexural strength of box beams, a total of 3 box beams of size 1500 mm × 200 mm × 150 mm consisting of one ferro-cement box beam having a wall thickness of 40 mm utilizing self-compacting cement mortar and two ferro-geopolymer box beams with geopolymer mortar by varying the wall thickness between 40 mm and 50 mm were moulded. The ferro-cement box beam was cured in water and ferro-geopolymer box beams were cured in heat chamber at 75℃ - 80℃ for 24 hours. After curing, the specimens are subjected to flexural testing by applying load at one-third points. The result shows that the ultimate load carrying capacity of ferro-geopolymer and ferro-cement box beams are almost equal. In addition, the stiffness of the ferro-geoploymer box beam is reduced by 18.50% when compared to ferro-cement box beam. Simultaneously, the ductility index and energy absorption capacity are increased by 88.24% and 30.15%, respectively. It is also observed that the load carrying capacity and stiffness of ferro-geopolymer box beams decreases when the wall thickness is increased. At the same time, the ductility and energy absorption capacity increased by 17.50% and 8.25%, respectively. Moreover, all of the examined beams displayed a shear failure pattern.

• Steel and Composite Structures
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• 제29권2호
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• pp.201-218
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• 2018

In this study, the effects of magnesium sulfate on the mechanical performance and the durability of confined and unconfined geopolymer concrete (GPC) specimens were investigated. The carbon and basalt fiber reinforced polymer (FRP) fabrics with 1-layer and 3-layers were used to evaluate the performances of the specimens under static and cyclic loading in the ambient and magnesium sulfate environments. In addition, the use of FRP materials as a rehabilitation technique was also studied. For the geopolymerization process of GPC specimens, the alkaline activator has selected a mixture of sodium silicate solution ($Na_2SiO_3$) and sodium hydroxide solution (NaOH) with a ratio ($Na_2SiO_3/NaOH$) of 2.5. In addition to GPC specimens, an ordinary concrete (NC) specimens were also produced as a reference specimens and some of the GPC and NC specimens were immersed in 5% magnesium sulfate solutions. The mechanical performance and the durability of the specimens were evaluated by visual appearance, weight change, static and cyclic loading, and failure modes of the specimens under magnesium sulfate and ambient environments. In addition, the microscopic changes of the specimens due to sulfate attack were also assessed by scanning electron microscopy (SEM) to understand the macroscale behavior of the specimens. Results indicated that geopolymer specimens produced with nano-silica and fly ash showed superior performance than the NC specimens in the sulfate environment. In addition, confined specimens with FRP fabrics significantly improved the compressive strength, ductility and durability resistance of the specimens and the improvement was found higher with the increased number of FRP layers. Specimens wrapped with carbon FRP fabrics showed better mechanical performance and durability properties than the specimens wrapped with basalt FRP fabrics. Both FRP materials can be used as a rehabilitation material in the sulfate environment.

• Computers and Concrete
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• 제33권2호
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• pp.175-193
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• 2024

Researchers have embarked on an active investigation into the feasibility of adopting alternative materials as a solution to the mounting environmental and economic challenges associated with traditional concrete-based construction materials, such as reinforced concrete. The examination of concrete's mechanical properties using laboratory methods is a complex, time-consuming, and costly endeavor. Consequently, the need for models that can overcome these drawbacks is urgent. Fortunately, the ever-increasing availability of data has paved the way for the utilization of machine learning methods, which can provide powerful, efficient, and cost-effective models. This study aims to explore the potential of twelve machine learning algorithms in predicting the tensile strength of geopolymer concrete (GPC) under various curing conditions. To fulfill this objective, 221 datasets, comprising tensile strength test results of GPC with diverse mix ratios and curing conditions, were employed. Additionally, a number of unseen datasets were used to assess the overall performance of the machine learning models. Through a comprehensive analysis of statistical indices and a comparison of the models' behavior with laboratory tests, it was determined that nearly all the models exhibited satisfactory potential in estimating the tensile strength of GPC. Nevertheless, the artificial neural networks and support vector regression models demonstrated the highest robustness. Both the laboratory tests and machine learning outcomes revealed that GPC composed of 30% fly ash and 70% ground granulated blast slag, mixed with 14 mol of NaOH, and cured in an oven at 300°F for 28 days exhibited superior tensile strength.

• Structural Engineering and Mechanics
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• 제70권6호
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• pp.671-681
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• 2019

This paper examines the applicability of artificial neural network (ANN) and multivariate adaptive regression splines (MARS) to predict the compressive strength of bacteria incorporated geopolymer concrete (GPC). The mix is composed of new bacterial strain, manufactured sand, ground granulated blast furnace slag, silica fume, metakaolin and fly ash. The concentration of sodium hydroxide (NaOH) is maintained at 8 Molar, sodium silicate ($Na_2SiO_3$) to NaOH weight ratio is 2.33 and the alkaline liquid to binder ratio of 0.35 and ambient curing temperature ($28^{\circ}C$) is maintained for all the mixtures. In ANN, back-propagation training technique was employed for updating the weights of each layer based on the error in the network output. Levenberg-Marquardt algorithm was used for feed-forward back-propagation. MARS model was developed by establishing a relationship between a set of predictors and dependent variables. MARS is based on a divide and conquers strategy partitioning the training data sets into separate regions; each gets its own regression line. Six models based on ANN and MARS were developed to predict the compressive strength of bacteria incorporated GPC for 1, 3, 7, 28, 56 and 90 days. About 70% of the total 84 data sets obtained from experiments were used for development of the models and remaining 30% data was utilized for testing. From the study, it is observed that the predicted values from the models are found to be in good agreement with the corresponding experimental values and the developed models are robust and reliable.

• Advances in concrete construction
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• 제9권3호
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• pp.227-234
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• 2020

Raw perlite is a volcanic alumino-silicate and is used as aggregate in the construction industry. The high silica and alumina contained in the raw perlite allows the production of geopolymer mortar with the help of alkaline solutions. In this study, different geopolymer mortars are obtained by mixing ground perlite (GP), sodium hydroxide (NaOH), water and CEN standard sand and the strength and microstructure of these mortars are investigated. Mortar specimens are placed in the oven 24 hours after casting and kept at different temperatures and times, then the specimens are cured under laboratory conditions until the day of strength tests. After curing, unit weight, ultrasound pulse velocity, flexural and compressive strengths are determined. Experimental results indicate that the mechanical properties of the mortars enhance with increasing oven-curing period and temperatures as well as increasing NaOH molarity. In addition, SEM/EDS and XRD analyses are performed on the mortar specimens and the results are interpreted.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.187-188
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• 2022

In this study, the compressive strength and carbonation properties of geopolymer paste according to the amount of alkali admixture added were evaluated for the development of geopolymer concrete that recycles industrial waste. A geopolymer paste specimen was prepared using Ca(OH)2 as an admixture, and the prepared specimen was standard cured for 28 days. After curing, the compressive strength of the specimen was measured. As the amount of alkali admixture increased, the compressive strength increased. After curing, carbonation was carried out for 7 days in a CO2 5% environment. As a result of comparative evaluation of the amount of CaCO3 produced according to carbonation, the amount of CaCO3 produced increased as the amount of Ca(OH)2 added increased. However, when the amount of admixture added exceeds 5%, the increase rate decreases, so the optimum addition rate is considered to be 5%.